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Journals (SCI, Scopus, WoS)

Dec-2023

  1. " Accelerating prediction of RNA secondary structure using parallelization on multicore architecture", Sadhana - Academy Proceedings in Engineering Sciences, Springer, SCI, Q2 , 19 December, 2023, 49(1), 6 , https://doi.org/10.1007/s12046-023-02343-5 

  2. "Lightweight Security Algorithm for Wireless Sensor Network Computer Security", International Journal of Intelligent Systems and Applications in Engineering, 12(4s), pp. 147–157, Scopus, Q3 Dec-2023

  3. " Depression Therapy Chat-Bot using Natural Language Processing", International Journal of Intelligent Systems and Applications in Engineering, 12(2s), pp. 181–187 , Scopus, Q3 Dec-2023

July-2023

  1. "An Analytical Approach on Various Deep Learning Models for Image Classification", International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 593–605. Scopus, Q3 July-2023, https://ijisae.org/index.php/IJISAE/article/view/2996 

  2.  "Image Captioning Using ResNet RS and Attention Mechanism", International Journal of Intelligent Systems and Applications in Engineering, 11(7s), 606–613. Scopus, Q3 https://www.ijisae.org/index.php/IJISAE/article/view/2997 

  3. Dynamic hidden feature space detection of noisy image set by weight binarization, Signal, Image and Video Processing (2022), Springer, SCI, Q2, Scopus , https://doi.org/10.1007/s11760-022-02284 

 

April-2023

  1. "Assessment of diabetic retinopathy progression using CNN from ocular thermal images." Soft Computing (2023), Springer: 1-7., SCI, Q2, Scopus, https://link.springer.com/article/10.1007/s00500-023-08238-1

 

January-2023

  1. "Water and wastewater quality prediction: current trends and challenges in the implementation of artificial neural network." Environmental Monitoring and Assessment 195.2 (2023): 321, SCI, Q2 Scopus, https://link.springer.com/article/10.1007/s10661-022-10904-0

 

2022

 

  1. Deep Learning for Intrusion Detection and Security of Internet of Things (IoT): Current Analysis, Challenges, and Possible Solutions, SCI, Scopus and Web of Science  Indexed Journal “Security and Communication Networks” published by Wiley and Hindawi, Volume 2022, Article ID 4016073 | https://doi.org/10.1155/2022/4016073

  2. Analysis of Cross-Domain Security and Privacy Aspects of Cyber-Physical Systems, Int J Wireless Inf Networks (2022), Springer, Scopus, 04 July 2022 https://doi.org/10.1007/s10776-022-00559-6

  3. Transfer Learning for Audio Waveform to Guitar Chord Spectrograms Using the Convolution Neural Network, Mobile Information Systems (2022), published by Wiley and Hindawi (2022), SCI, Scopus, 31 Aug 2022 https://doi.org/10.1155/2022/8544765 

  4. A review on machine learning strategies for real-world engineering applications, Mobile Information Systems 2022,  published by Wiley and Hindawi (2022), published by Wiley and Hindawi (2022), SCI, Scopus 28 Aug, 2022,  https://doi.org/10.1155/2022/1833507 

  5.  NNPCov19: Artificial Neural Network-Based Propaganda Identification on Social Media in COVID-19 Era." Mobile Information Systems 2022 (2022), SCI, Scopus: 1-10,  https://doi.org/10.1155/2022/3412992 

  6. Blockchain-Based Optimization Model for Evaluating Psychological Mental Disease and Mental Fitness, Computational Intelligence and Neuroscience 2022 (2022), SCI, Scopus,  https://doi.org/10.1155/2022/8657313 

  7. FPGA-Based Deep Learning Models for Analysing Corona Using Chest X-Ray Images, SCI, Scopus and Web of Science, Mobile Information Systems, published by Wiley and Hindawi (2022) Volume 2022 |Article ID 2110785 | https://doi.org/10.1155/2022/2110785

  8. From Blackbox to Explainable Medical AI: Existing Tools and Case Studies, SCI, Scopus and Web of Science, Mobile Information Systems, published by Wiley and Hindawi (2022), Volume 2022 |Article ID 8167821 | https://doi.org/10.1155/2022/8167821, 13 June, 2022

  9. Improved resilience of secret sharing scheme with augmented multifarious features, Scopus, Int. j. inf. tecnol. (2022). https://doi.org/10.1007/s41870-022-00941-w, 14 May, 2022

  10. Robust Authentication System with Privacy preservation of Biometrics, SCI, Scopus and Web of Science  Indexed Journal “Security and Communication Networks” published by Wiley and Hindawi, Volume 2022 |Article ID 7857975 | https://doi.org/10.1155/2022/7857975

  11. Machine learning based intelligent wireless communication system for solving real world security issues, SCI, Scopus and Web of ScienceIndexed Journal “Security and Communication Networks” published by Wiley and Hindawi, Volume 2022 |Article ID 7978822 | https://doi.org/10.1155/2022/7978822, 23 

  12. "Students performance prediction using hybrid classifier technique in incremental learning", Published in International Journal of Business Intelligence and Data Mining, Scopus Vol 15, no. 2, 31st May, 2019, 10.1504/IJBIDM.2019.101255.  https://www.inderscience.com/info/inarticle.php?artid=10125


 

Conferences (Scopus Indexed)

 

2023

  1. Modak, Aachal, et al. "Disease Detection in Rice leaves using Convolutional Neural Network." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

  2. Sonawane, Chaitanya, et al. "Diabetic Prediction Using Machine Algorithm SVM and Decision Tree." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

  3. Pate, Raj, et al. "Sentiment Analysis of Tweets Using Machine Learning Algorithms." 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE, 2023. 

  4. S. Deshmukh, A. Rathod, H. Sonawane, R. Raut and A. Devkar, "Skin Cancer Classification Using CNN," 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC), Dharwad, India, 2023, pp. 1-5, doi: 10.1109/ICAISC58445.2023.10199440. 

  5. K. Meshram, H. Jadhav, N. Narsale, R. Raut and A. Devkar, "Image Generation from Random Noise using Generative Adversarial Networks," 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 381-385, doi: 10.1109/CISES58720.2023.10183425. 

  6. A. Mhasawade, G. Rawal, P. Roje, R. Raut and A. Devkar, "Comparative study of SVM, KNN and Decision Tree for Diabetic Retinopathy Detection," 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), Greater Noida, India, 2023, pp. 166-170, doi: 10.1109/CISES58720.2023.10183456. 

  7. R. Patil, S. Patil, N. Todakari, A. Devkar and R. Raut, "Earthquake Depth & Magnitude Prediction Model Using Artificial Neural Network," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-5, doi: 10.1109/INCET57972.2023.10170413. 

  8. R. M. Putra, E. H. Yossy, Suharjito, I. P. Saputro, D. Pratama and T. Prasandy, "Face Mask Detection using Convolutional Neural Network," 2023 8th International Conference on Business and Industrial Research (ICBIR), Bangkok, Thailand, 2023, pp. 133-138, doi: 10.1109/ICBIR57571.2023.10147730. 

  9. D. Ojha, A. Pawar, G. Kasliwal, R. Raut and A. Devkar, "Driver Drowsiness Detection Using Deep Learning," 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-4, doi: 10.1109/INCET57972.2023.10169941. 

  10. Raut, Roshani, et al. "Undergraduate College Admission Prediction System Using Decision Tree Classifier." Micro-Electronics and Telecommunication Engineering: Proceedings of 6th ICMETE 2022. Singapore: Springer Nature Singapore, 2023. 297-308. 

  11. Raut, Roshani, et al. "Intelligent Information System for Detection of COVID-19 Based on AI." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

  12. Rajput, Divya, et al. "Plant Quality Assessment and Disease Identification System Using AI." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

  13. Raut, Roshani, Prem Jadhav, and Abha Bodas. "Image-Based Plant Disease Detection and Classification Using Deep Convolution Neural Network." Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications: ICMISC 2022. Singapore: Springer Nature Singapore, 2023. 

2022

  1. Chaudhari, Anagha, et al. "A Comprehensive Study on Recommendation Engines." 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA. IEEE, 2022. 

  2. P. Chavan, K. Ambavade, S. Bajad, R. Chaudhari and R. Raut, "Smart Blind Stick," 2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA, Pune, India, 2022, pp. 1-4, doi: 10.1109/ICCUBEA54992.2022.10010707. 

  3. Chaudhari, Anagha, Aliza Sarlan, and Roshani Raut. "A Systematic Analysis of Federated Learning." 2022 International Conference on Digital Transformation and Intelligence (ICDI). IEEE, 2022. 

  4. Classification of Fruits using Convolutional Neural Networks," 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2022, pp. 1-4, doi: 10.1109/ICAECT54875.2022.9808070.

  5. Traffic Signs Recognition and Detection using Deep Convolution Neural Networks for Autonomous Driving," 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), 2022, pp. 207-214, doi: 10.1109/CSNT54456.2022.9787584.

  6. Accelerating Polynomial-Based Image Secret Sharing Using Hadoop. Emergent Converging Technologies and Biomedical Systems Lecture Notes in Electrical Engineering, vol 841. Springer, Singapore, 24 March-2022, https://doi.org/10.1007/978-981-16-8774-7_6

  7. "Single Shot Detector Based Object Detection For Visually Impaired People," 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), 20-22 Jan, 2022, pp. 1378-1385, doi: 10.1109/ICSSIT53264.2022.9716230. https://ieeexplore.ieee.org/document/9716230

  8. "Smart Indoor Navigation, Shopping Recommendation & Queue less billing based shopping assistant using AI," 2021 International Conference on Artificial Intelligence and Machine Vision (AIMV), 24-26 Sept, 2021, pp. 1-4, doi: 10.1109/AIMV53313.2021.9670948. https://ieeexplore.ieee.org/document/9670948

  9. Real-Time Driver’s Eye Closure, Yawning Detection for Drowsiness Analysis and Gazing Detection for Distraction Analysis.  Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 1286. Springer, 29-June-2021, Singapore. https://doi.org/10.1007/978-981-15-9927-9_91 

  10. MLP-based undersampling technique for imbalanced learning, IEEE International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT, 9-10 Sept. 2016. http://ieeexplore.ieee.org/document/7877567/

  11. Enhancing performance of keyword query over structured data, IEEE International Conference on Computing Communication Control and Automation (ICCUBEA), 12-13 Aug, 2016. http://ieeexplore.ieee.org/document/7860009/

  12. Dynamic sampling approach with MLP and Cart, IEEE International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT, 9-10 Sept. 2016, http://ieeexplore.ieee.org/document/7877622/

  13. Logistic Regression Learning Model for Concept Drift with Unbalanced Data in Credit Card Fraud Detection System, Second International Conference on Computer and Communication Technologies, IC3T, Springer, CMR Technical, Hydrabad, India, pp. 681-689, 23-24 July, 2015.

  14. Efficient Knowledge Transformation System Using Pair of Classifiers for Prediction of Students Career Choice”, International Conference on Information and Communication Technologies, ICICT, Procedia Computer Science, Sciencedirect, Dec 2014.

  15. Cloud data Security for goal driven global software engineering projects, International Conference on Information and Communication Technologies, ICICT, Procedia Computer Science, Sciencedirect, Dec 2014.

  16. “Incremental Learning in Students Classification System with Efficient Knowledge Transformation” IEEE Conference on Parallel, Distributed and Grid Computing, PDGC Dec 2014. IEEE Catalog no. CFP1434K-ART; ISBN:78-1-4799-7683-6.

  17. Genetic Algorithm based Feature Selection Approach for Effective Intrusion Detection System, IEEE International conference, ICCCI, Dec, 2014, Coimbatore.

  18. “Classification of students by using an incremental ensemble of classifiers”, published in 3rd IEEE International Conference On Reliability, Infocom Technologies and optimization, pp. 61-65, ICRITO- 8-10 Oct 2014. ISBN-978-93-83083-99-2.

  19. “An incremental ensemble of classifiers as a technique for prediction of student's career choice”, published in IEEE International conference on network and soft computing, pp. 427-430, ICNSC, July 2014. ISBN: 978-1-4799-3486-7/14.

  20. Classification of Students by Using Multilayer Perceptron, 3rd International Conference on Recent Trends in Engineering and Technology, ICRTET-2014, Elsevier,pp-439-444, 28-30 March, 2014.



 

Google Scholar

  1. Challenges in Industry 4.0 for Machine Vision, A Conceptual Framework, a Review and Numerous Case Studies, Machine Vision for Industry 4.0, Applications and Case Studies, CRC Taylor and Francis, 23 March, 2022, https://doi.org/10.1201/9781003122401, ISBN: 9781003122401

  2. Practical Issues in Robotics Internet of Things, Machine Vision for Industry 4.0, Applications and Case Studies, CRC Taylor and Francis, 23 March, 2022, https://doi.org/10.1201/9781003122401, ISBN: 9781003122401

  3. "Use of Artificial Intelligence (AI) in Fighting With the Novel Coronavirus (COVID-19)", Source Title: Examining the Impact of Deep Learning and IoT on Multi-Industry Applications , IGI Global, USA, DOI: 10.4018/978-1-7998-7511-6.ch00

  4. Learning from unbalanced stream data in non-stationary environment using logistic regression model: A Novel approach using machine learning for assessment of credit card frauds, Handbook of Research on Natural computing for optimization problem, ACIR, IGI Global, pp. 561-582, 2016. https://www.igi-global.com/chapter/learning-from-unbalanced-stream-data-in-non-stationary-environments-using-logistic-regression-model/153829

  5. Classification of Students by using V-Incremental Learning Based on Regression Learning Model, Third Post Graduate Conference on Computer Engineering, Nashik, Elsevier, 1320-1330, 28-29 March, 2014.

  6. Efficient Methods for Incremental Learning under Non-stationary Environment from Imbalanced Data Stream, Third Post Graduate Conference on Computer Engineering, Nashik, Elsevier, 1308-1319, 28-29 March, 2014.

  7. A review: Social Media Data Mining for Understanding and Analyzing Different Issues in Society,First National Conference on Advanced in Computing, NCAC, pp. 1-4, Sept, 2015, IJCA, 0975-8887.

  8. Trinity for web data extraction using efficient algorithm, First National Conference on Advanced in Computing, NCAC, pp. 18-22, Sept, 2015, IJCA, 0975-8887.

  9. Effective FAST and Fuzzy ART MAP Performance to detect intrusion. , First National Conference on Advanced in Computing, NCAC, pp. 29-33, Sept, 2015, IJCA, 0975-8887.

  10. Review: the secret sharing algorithm for data security in the cloud, First National Conference on Advanced in Computing, NCAC, pp. , Sept, 2015, IJCA, 0975-8887.

  11. Patient controlled encryption using key aggregation with blowfish algorithm, First National Conference on Advanced in Computing, NCAC, pp. , Sept, 2015, IJCA, 0975-8887.

  12. Intrusion detection based on incremental combining classifiers, First National Conference on Advanced in Computing, NCAC, pp. 37-41 , Sept, 2015, IJCA, 0975-8887.

  13. A review on imbalanced learning methods, First National Conference on Advanced in Computing, NCAC, pp. 23-27 , Sept, 2015, IJCA, 0975-8889.

  14. A case study: Stream Data Mining Classification, First National Conference on Advanced in Computing, NCAC, pp. 1-4 , Sept, 2015, IJCA, 0975-8889.

​Other Journals (Google Scholar, DBLP)

  1. "Big Data Analysis using Semi Supervised Learning Approach on Health Care Databases Using HDFS, Vol XII, Special Issue, June-18, ISSN 2321-3469.

  2. Cloud Data Sharing & Anonymous Authentication with Multi-User Modification Attribute-Based Encrypting in Cloud Computing, Vol XII, Special Issue, June-18, ISSN 2321-3469.

  3. A Secure IOT Based Modern Healthcare System using Body Sensor Network, Vol XII, Special Issue, June-18, ISSN 2321-3469.

  4. Use of NLM to get Efficient and High Performance Throughput of Hadoop by using RDMA Inter-Connect and Pipelinded Data Shuffling and Merging, Vol XII, Special Issue, June-18, ISSN 2321-3469.

  5. Predicting Students Result and Real-Time Bio-Metric Attendance using Fingerprint with Digital Notice Display, Vol XII, Special Issue, June-18, ISSN 2321-3469, 2017-18 (June-2017 to May-2018)

  6. Computer Independent Data Transfer Device, International Journal of Recent Contributions from Engineering, Science & IT (iJES), Vol 5, No. 2, dblp eISSN: 2197-8581.

  7. Intelligent Traffic Control System Implementation for Traffic Violation Control, Congestion Control and Stolen Vehicle Detection, International Journal of Recent Contributions from Engineering, Science & IT (iJES), Vol 5, No. 2, dblp eISSN: 2197-8581

  8. "Scheduling Tasks in Heterogeneous System using Load Balancing Algorithm", IJCA(0975-8887) Vol. 168, No. 9, 2016-17 (June-2016 to May-2017)

  9. A Novel approach for handling imbalanced data in medical diagnosis using under sampling technique, CAE, FCS, New York, USA, Vol. 5, No. 7, pp.36-42, Jul-2016.

  10. Various approaches for multiclass imbalanced learning issued with MLP, CAE, FCS, New York, USA, Vol. 5, No. 4, pp. 13-16, Jun-2016.2015-16 (June-2015 to May-2016)

  11. Review on Class Imbalanced Learning : binary and multicast, Vol. 331, No. 16, pp. Dec-2015.

  12. Web Based Semantic link Model for Organizing Multimedia Data, IJIRCCE, Vol. 3, No. 11, pp. Nov-2015.

  13. Analytical Approach to Predictive Disease Diagnosis using K-NN and Kstar, IJCSIT, Vol. 6, No. 2, pp. 1876-1879, Oct-2015.

  14. Preprocessing of Streaming Data using Genetic Algorithm, IJCA, Vol. 120, No. 17, pp. 16-19, June-2015.

  15. Dimensionality Reduction: An Effective Technique for Feature Selection, IJCA, Vol. 117, No. 3, pp. 18-23, May-2015.

  16. Intrusion Detection System – Via Fuzzy ARTMAP in Addition with advance semi-supervised feature Selection, IJDKP, Vol. 5, No. 3, pp. 29-43, May-2015

  17. Iterative Pattern Matching using K-nn-Lazy Bayesian Rule, IJCA, Vol. 117, No. 24, pp. , May-2015

  18. Patient Controlled encryption using key aggregation , IJCA, Vol. 115, No. 21, pp. 29-31, Apr-2015.

  19. Evaluation of Credit Threats using Incremental Learning Approach, CAE, FCS, New York, USA, Vol. 1, No. 4, pp. 29-33, Mar-2015.

  20. A Global Software Engineering Knowledge Management Approach for Intensive Risk Mitigation, IJMPICT, Vol. 6, No. 1, pp. 13-20, Mar-2015.

  21. Intrusion Detection using Incremental Learning From Streaming Imbalanced Data , IJMPICT, Vol. 6, No. 1, pp. , Mar-2015.

  22. Genetic Approach for Goal Driven Software Requirement Risk Management, CAE, FCS, New York, USA, Vol. 1, No. 3, pp. 18-21, Feb-2015.

  23. A Hybrid Ant Colony Optimization Algorithm using MapReduce for Arc Routing Problem, IJCA, Vol. 112. No. 11, pp. , Feb-2015.

  24. Incremental Learning form Unbalanced Data With Concept Class, Concept Drift and Missing Features: A review, IJDKP, Vol. 4, No. 6, pp. 15-29, Dec-201

  25. Instance based vs batch based Learning Approach for Students Classification, IJCA, Vol. 106, No. 3, pp. 31-41, Nov-2014.

  26. Secured Cloud Support for Global Software Requirement Risk Management, IJSEA, Vol. 5, No. 6, pp. , Nov-2014.

  27. A review on Data Sharing across cloud Storage using key Aggregate Cryptosystem, IJSR, Vol. 3, No. 11, pp. 1232-1234, Nov-2014.

  28. A differential diagnosis in Medical field using SOA and Classifier Techniques: A review, IJSR, Vol. 3, No. 11, pp. 1708-1710, Nov-2014.

  29. Review on Intrusion Detection using Fuzzy ARTMAP with Feature Selection Technique, IJSR, Vol. 3, No. 11, pp. 1215-1218, Nov-2014.

  30. Development of improved aggregated Key cryptosystem for scalable data sharing, IJCSIT, Vol. 6, No. 2, pp. 1792-1794, Oct-2014.

  31. Comparative Study of Pre- processing Techniques for Classifying Streaming data, IJCSIT, Vol. 6, No. 4, pp. 3294-3297, Oct-2014.

  32. Software Requirement Engineering Risk Prediction Model, IJCA, Vol. 102, No. 2, pp. , Sept-201

  33. Feature Selection based Classification using Naïve Bayes, J48 and Support Vector Machines, IJCA, Vol. 99, No. 16, pp. 14-18 , Aug-2014.

  34. Prediction on students performance based on incremental learning , IJCA, Vol. 99, No. 14, pp. , Aug-2014.

  35. Recursive Ensemble Approach for incremental learning of non-stationary imbalanced data, IJCA, Vol. 98, No. 17, pp. 41-45, Jul-20142013-14 (June-2013 to May-2014)

  36. Classification of Students using Psychometric tests with the help of incremental Naïve Bayes Algorithm, IJCA, Vol. 89, No. 14, pp. 27-31, Mar-2014. 

  37. Methods for incremental learning: A Survey, IJDKP, Vol. 3, No. 4, pp. 119-125, July-2013.

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